François Laviolette
Université Laval(CA)
Publications by Year
Research Areas
Machine Learning and Algorithms, Genomics and Phylogenetic Studies, Gene expression and cancer classification, Machine Learning and Data Classification, Imbalanced Data Classification Techniques
Most-Cited Works
- → Domain-Adversarial Training of Neural Networks(2017)7,541 cited
- → Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species(2013)731 cited
- → Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning(2019)705 cited
- → Ray Meta: scalable de novo metagenome assembly and profiling(2012)615 cited
- → Ray: Simultaneous Assembly of Reads from a Mix of High-Throughput Sequencing Technologies(2010)555 cited
- → Domain-Adversarial Neural Networks(2014)246 cited
- → Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology(2019)185 cited
- → PAC-Bayesian learning of linear classifiers(2009)176 cited
- → Predicting Ion Mobility Collision Cross-Sections Using a Deep Neural Network: DeepCCS(2019)174 cited
- → Transfer learning for sEMG hand gestures recognition using convolutional neural networks(2017)173 cited